runtime-analysis

There are 18 repositories under runtime-analysis topic.

  • OWASP/owasp-mastg

    The Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes the technical processes for verifying the controls listed in the OWASP Mobile Application Security Verification Standard (MASVS).

    Language:Python12.1k4191.2k2.4k
  • tanprathan/MobileApp-Pentest-Cheatsheet

    The Mobile App Pentest cheat sheet was created to provide concise collection of high value information on specific mobile application penetration testing topics.

  • iddoeldor/frida-snippets

    Hand-crafted Frida examples

    Language:JavaScript2.5k7818437
  • hotline1337/umium

    Class containing Anti-RE, Anti-Debug and Anti-Hook methods. Made for C++/CLI

    Language:C++1056119
  • iarsystems/bx-github-ci

    GitHub Actions CI workflow with IAR Build Tools for Arm using self-hosted Linux runners

    Language:C29234
  • hotline1337/jobject

    proof of concept of user-mode anti-breakpoint technique

    Language:C++15111
  • CyberDanube/medusa-embedded-toolkit

    Statically compiled binaries for various architectures.

  • nonebot/nb-autodoc

    Python API documentation tool supporting the modern PEPs and typing features.

    Language:Python10212
  • dyfactor/dyfactor

    A platform for running codemods based on runtime information

    Language:TypeScript8375
  • Ali-Mirghasemi/Reflex

    Reflex is a powerful C library that provides reflection capabilities for C data structures. It allows you to introspect C structures at runtime, enabling you to access and manipulate the structure members dynamically. This library is particularly useful for tasks like serialization, deserialization, data validation, and generic data handling.

    Language:C310
  • asciistring/Kraken-Crypter-v5-Native-Turbo-

    Kraken Crypter v5 (Native/Turbo)

  • agl-alexglopez/heap-allocator-workshop

    This repository is a workshop for heap allocator implementations using a variety of data structures and algorithms. The goal is to compare performance and tradeoffs of different approaches in depth.

    Language:C1101
  • jasonhaak/runtime_analysis_php

    Runtime analysis environment in PHP for evaluating the efficiency of algorithms such as AVL tree insertion, graph colouring by backtracking and matrix multiplication

    Language:PHP1100
  • acrylic-origami/stacker

    For a Cabal package, combine a call graph traversal and cost center stacks from GHC executing its dependents to understand how packages are used in the wild

    Language:TypeScript0100
  • iahuang/theta

    A time complexity analysis library written in Python

    Language:Python0100
  • mtamerb/google-data-structures-and-algorithms

    Learning goals Familiarize yourself with common data structures and algorithms such as lists, trees, maps, graphs, Big-O analysis, and more!

    Language:Java0100
  • SatArw/BM2043_DSA_Algorithms

    This is my course work on the BM2043 Algorithms and Data structures Lab

    Language:Jupyter Notebook0100
  • daniel-furman/data-structures

    Data Structures and Algorithms in C++.

    Language:C++10